Article

Comparison of Elastic Matching Algorithms for Online Tamil Handwritten Character Recognition

Authors:

Niranjan Joshi,

G. Sita,

A. G. Ramakrishnan,

Sriganesh MadhvanathAuthors Info & Claims

IWFHR '04: Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition

Pages 444 - 449

https://doi.org/10.1109/IWFHR.2004.30

Published: 26 October 2004 Publication History

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Abstract

We present a comparison of elastic matching schemes for writer dependent on-line handwriting recognition of isolated Tamil characters. Three different features are considered namely, preprocessed x-y co-ordinates, quantized slope values, and dominant point co-ordinates. Seven schemes based on these three features and dynamic time warping distance measure are compared with respect to recognition accuracy, recognition speed, and number of training templates. Along with these results, possible grouping strategies and error analysis is also presented in brief.

Cited By

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Verma KSharma R(2017)Comparison of HMM- and SVM-based stroke classifiers for Gurmukhi scriptNeural Computing and Applications10.1007/s00521-016-2309-528:1(51-63)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s00521-016-2309-5
Sundaram SRamakrishnan A(2015)Bigram Language Models and Reevaluation Strategy for Improved Recognition of Online Handwritten Tamil WordsACM Transactions on Asian and Low-Resource Language Information Processing10.1145/267101414:2(1-28)Online publication date: 20-Apr-2015
https://dl.acm.org/doi/10.1145/2671014
Simistira FKatsouros VCarayannis G(2015)Recognition of online handwritten mathematical formulas using probabilistic SVMs and stochastic context free grammarsPattern Recognition Letters10.1016/j.patrec.2014.11.01553:C(85-92)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1016/j.patrec.2014.11.015
Show More Cited By

Comparison of Elastic Matching Algorithms for Online Tamil Handwritten Character Recognition
1. Applied computing
  1. Document management and text processing
    1. Document capture
2. Computing methodologies
  1. Machine learning
    1. Machine learning algorithms

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IWFHR '04: Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition

October 2004

679 pages

ISBN:0769521878

Publisher

IEEE Computer Society

United States

Publication History

Published: 26 October 2004

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Verma KSharma R(2017)Comparison of HMM- and SVM-based stroke classifiers for Gurmukhi scriptNeural Computing and Applications10.1007/s00521-016-2309-528:1(51-63)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s00521-016-2309-5
Sundaram SRamakrishnan A(2015)Bigram Language Models and Reevaluation Strategy for Improved Recognition of Online Handwritten Tamil WordsACM Transactions on Asian and Low-Resource Language Information Processing10.1145/267101414:2(1-28)Online publication date: 20-Apr-2015
https://dl.acm.org/doi/10.1145/2671014
Simistira FKatsouros VCarayannis G(2015)Recognition of online handwritten mathematical formulas using probabilistic SVMs and stochastic context free grammarsPattern Recognition Letters10.1016/j.patrec.2014.11.01553:C(85-92)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1016/j.patrec.2014.11.015
Chowdhury SBhattacharya UParui SGovindaraju VNatarajan PChaudhury SLopresti DSetlur SCao H(2013)Levenshtein distance metric based holistic handwritten word recognitionProceedings of the 4th International Workshop on Multilingual OCR10.1145/2505377.2505378(1-5)Online publication date: 24-Aug-2013
https://dl.acm.org/doi/10.1145/2505377.2505378
Sundaram SRamakrishnan A(2013)Attention-Feedback Based Robust Segmentation of Online Handwritten Isolated Tamil WordsACM Transactions on Asian Language Information Processing10.1145/2425327.242533112:1(1-25)Online publication date: 1-Mar-2013
https://dl.acm.org/doi/10.1145/2425327.2425331
Dutta DChowdhury ABhattacharya UParui SRamakrishnan ARamachandrula S(2012)Lightweight user-adaptive handwriting recognizer for resource constrained handheld devicesProceeding of the workshop on Document Analysis and Recognition10.1145/2432553.2432574(114-119)Online publication date: 16-Dec-2012
https://dl.acm.org/doi/10.1145/2432553.2432574
Sundaram SK BRamakrishnan ARamakrishnan ARamachandrula S(2012)Language models for online handwritten Tamil word recognitionProceeding of the workshop on Document Analysis and Recognition10.1145/2432553.2432562(42-48)Online publication date: 16-Dec-2012
https://dl.acm.org/doi/10.1145/2432553.2432562
Belhe SPaulzagade CDeshmukh AJetley SMehrotra KRamakrishnan ARamachandrula S(2012)Hindi handwritten word recognition using HMM and symbol treeProceeding of the workshop on Document Analysis and Recognition10.1145/2432553.2432556(9-14)Online publication date: 16-Dec-2012
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Prasad GKhan IChanukotimath NGopalan KThampi S(2012)On-line Hindi handwritten character recognition for mobile devicesProceedings of the International Conference on Advances in Computing, Communications and Informatics10.1145/2345396.2345568(1074-1078)Online publication date: 3-Aug-2012
https://dl.acm.org/doi/10.1145/2345396.2345568
Prasad MSukumar MRamakrishnan AGovindaraju VNatarajan PChaudhury SLopresti D(2009)Divide and conquer technique in online handwritten Kannada character recognitionProceedings of the International Workshop on Multilingual OCR10.1145/1577802.1577815(1-7)Online publication date: 25-Jul-2009
https://dl.acm.org/doi/10.1145/1577802.1577815
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Online Handwritten Gurmukhi Character Recognition Using Elastic Matching

Handwritten character recognition using elastic matching and PCA

Off-line cursive handwritten Tamil character recognition

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